Author

N. Ishaque

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Approach:statistical model· 4 Research Focus:differential expression· 3 Approach:experimental assay· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Assay:DNA methylation· 2 Research Focus:drug response / drug discovery· 2

Frequent Co-Authors

C. Conrad· 2 shared C.-S. Leonhardt· 2 shared F. W. Ten· 2 shared J. Jabs· 2 shared O. Debnath· 2 shared O. Strobel· 2 shared R. Eils· 2 shared A. Froehlich· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCancer Biology

C. Conrad

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Plasticity and lineage commitment of individual Th1 cells are determined by stable T-bet expression quantities

A. N. Hegazy, C. Peine, D. Niesen, I. Panse, Y. Vainshtein, C. Kommer, Q. Zhang, T. M. Brunner, M. Peine, A. Froehlich, N. Ishaque, R. M. Marek, J. J. Zhu, T. Hoefer, M. Loehning

This study shows that T-bet expression levels in Th1 cells determine their plasticity and lineage stability, with virus-induced interferons regulating these states.

bioRxiv · Aug 14, 2022 · PreprintImmunology

Deep molecular characterization linked to drug response profiling of pancreatic ductal adenocarcinoma using patient-derived organoids.

S. Le Blanc, N. Ishaque, J. Jabs, T. Bauer, S. Schuth, Q. Hu, O. Debnath, F. W. Ten, C.-S. Leonhardt, A.-K. König, M. Bieg, C. Eckert, M. M. Gaida, M. Volkmar, D. Hübschmann, , O. Strobel

This study uses patient-derived PDAC organoids to integrate genomic, transcriptomic, and drug response data, identifying novel biomarkers and resistance mechanisms for personalized treatment.

bioRxiv · Aug 26, 2021 · PreprintCancer Biology

Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy

T. G. Krieger, S. LeBlanc-Soto, J. Jabs, F. W. Ten, N. Ishaque, K. Jechow, O. Debnath, C.-S. Leonhardt, A. Giri, R. Eils, O. Strobel, C. Conrad

The paper uses single-cell RNA sequencing to analyze PDAC organoids and identifies conserved cell states and a differentiation hierarchy linked to tumor subtypes.

bioRxiv · Aug 23, 2020Cancer Biology

Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

J. A. Wierzbinska, R. Toth, N. Ishaque, K. Rippe, J.-P. Mallm, L. Klett, D. Mertens, T. Zenz, T. Hielscher, M. Seifert, R. Kueppers, Y. Assenov, P. Lutsik, S. Stilgenbauer, P. M. Roessner, , D. B. Lipka

This study introduces Methyl-COOM, a method to identify cell-of-origin and CLL-specific epigenetic aberrations by analyzing DNA methylation patterns.

bioRxiv · Feb 4, 2020Cancer Biology